Software Engineer III, AI/ML, DSP/HTP Optimisation

Google; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

Google's Software Engineer III, AI/ML, DSP/HTP Optimisation team in Zürich seeks a skilled engineer to advance power-efficient ML on DSP/HTP hardware. The role emphasizes hardware-aware model acceleration and energy-conscious design across platforms.

You will profile power, optimize end-to-end ML performance, and collaborate with ML and systems teams to push efficiency standards on next-generation hardware.

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++ or Python; or 1 year with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Aufgaben

• Utilise DSP/HTP architectures to accelerate ML models while minimizing thermal impact.
• Conduct power profiling and implement hardware-specific optimizations to maintain consistent performance.
• Own the end-to-end performance optimization of models to operate within a strict power budget.
• Define efficiency standards on next-generation hardware at the intersection of ML and system architecture.

Kenntnisse

Software development in C++/Python

ML infrastructure experience

Ausbildung

Bachelor’s degree or equivalent

Jobbeschreibung

Software Engineer III, AI/ML, DSP/HTP Optimisation

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corporate_fare Google place Zürich, Switzerland

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in C++ or Python programming languages, or 1 year of experience with an advanced degree.

• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.

• Experience developing accessible technologies.

• Deep understanding of machine learning principles to ensure algorithms perform within strict power limits.

• Maintaining a current and thorough understanding of the latest developments in Digital Signal Processors (DSP), Hexagon Tensor Processors (HTP), and system-on-chip (SoC) architectures to effectively leverage hardware-specific features for maximum efficiency and thermal management.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will conduct rigorous power profiling and implement hardware-specific optimizations to ensure feature performance remains consistent across all use cases. You will work at the intersection of ML and system architecture, technical specialists will define the efficiency standards on next-generation hardware. You will optimize the end-to-end performance of ML models to ensure compliance with strict power and thermal constraints, as the scope of the role encompasses leveraging specialized expertise in Hexagon Tensor Processors (HTP) and Digital Signal Processors (DSP) architectures to accelerate machine learning models while maintaining system stability and device performance standards.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

• Utilise Digital Signal Processors (DSP) and Hexagon Tensor Processors (HTP) architectures to accelerate ML models while effectively minimizing thermal impact.

• Conduct rigorous power profiling and implement hardware-specific optimizations to maintain consistent feature performance across all use cases.

• Own the end-to-end performance optimization of models to operate within a strict power budget.

• Define the efficiency standards on next-generation hardware at the intersection of ML and system architecture.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.